Neuromorphic computing uses brain-inspired principles to design circuits that can perform
computational tasks with superior power efficiency to conventional computers. Approaches …

Reservoir computing is a computational framework suited for temporal/sequential data
processing. It is derived from several recurrent neural network models, including echo state …

Magnetic skyrmions are topologically protected spin textures that have nanoscale
dimensions and can be manipulated by an electric current. These properties make the …

Topological spin textures in magnetic materials and arrangements of electric dipoles in
ferroelectrics are considered to be promising candidates for next-generation information …

Within a decade, the field of magnetic skyrmionics has developed from a niche prediction to
a huge and active research field. Not only do magnetic skyrmions—magnetic whirls with a …

Neuromorphic computing has been attracting ever‐increasing attention due to superior
energy efficiency, with great promise to promote the next wave of artificial general …

Spintronics is a growing research field that focuses on exploring materials and devices that
take advantage of the electron's “spin” to go beyond charge based devices. The most …

Interfacial Dzyaloshinskii-Moriya Interactions 2. Spin and Magnetism in 2D Materials 3.
Curvilinear magnetism 4. Spin-orbit torques and emergent applications 5. All-optical …

The field of magnetic skyrmions has been actively investigated across a wide range of topics
during the last decades. In this topical review, we mainly review and discuss key results and …

Physical reservoirs holding intrinsic nonlinearity, high dimensionality, and memory effects
have attracted considerable interest regarding solving complex tasks efficiently. Particularly …